Paper Citation Record · LEDGER

Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources

As of 12 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2411.16737.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.16737 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:13:18.369147Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-07T16:19:25.127008Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T23:46:43.396221Z

Reference resolution

14 of 14 outbound references displayed

verified exact3
verified fuzzy3
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5dd064eb-36dd-4fa9-8c97-e333b5519f0c · outbound

This paper cites QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection.

Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T14:13:18.230658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 218849ad-17e4-4289-85e1-9078d48f2823 · outbound

This paper cites an unresolved cited work.

Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources Unresolved cited work

Reference 3

Resolution: verified exact; raw_fallback, observed 2026-08-12T14:13:18.868203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 55457416-b2de-4aca-a9f0-b5446f18ca89 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources Semi-Supervised Classification with Graph Convolutional Networks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T14:13:18.324975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d59b137d-af27-4e7d-9f9f-35ac4fd9b68d · outbound

This paper cites FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging.

Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:13:18.908988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6cc70e89-37a7-4004-b567-af44579a1534 · outbound

This paper cites Fully homomorphic encryption using ideal lattices.

Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources Fully homomorphic encryption using ideal lattices

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:13:19.050308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f7b61c4e-85fe-4c03-a561-c7ea64e73f6e · outbound

This paper cites an unresolved cited work.

Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources Unresolved cited work

Reference 158

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:13:19.101539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 22070abd-fc3a-48d3-8e53-c4355e919c79 · outbound

This paper cites TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.

Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Reference 374

Resolution: unresolved; no resolver link, observed 2026-08-12T14:13:18.297650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8adde77-ef77-4523-9cd3-9695864ead53 · outbound

This paper cites Flower: A Friendly Federated Learning Research Framework.

Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources Flower: A Friendly Federated Learning Research Framework

Reference 597

Resolution: unresolved; no resolver link, observed 2026-08-12T14:13:18.246707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1135dcba-88ab-484c-b68d-5af3340706fd · outbound

This paper cites Privacy preserving machine learning with homomorphic encryption and federated learning.Future Internet 2021, 13,.

Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources Privacy preserving machine learning with homomorphic encryption and federated learning.Future Internet 2021, 13,

Reference 743

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:13:19.075702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8fec08ed-d6e7-43f7-8c55-137777350acf · outbound

This paper cites FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning.

Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-12T14:13:18.360507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d97d8eda-9c08-409a-a4f5-ef45c43a62e7 · outbound

This paper cites Comparative assessment of federated and centralized machine learning.

Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources Comparative assessment of federated and centralized machine learning

Reference 2019

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:13:18.603447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5f83d927-ad42-4308-a641-571d831f42f5 · outbound

This paper cites FLChain: A Blockchain for Auditable Federated Learning with Trust and Incentive.

Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources FLChain: A Blockchain for Auditable Federated Learning with Trust and Incentive

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:13:19.007640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0cf740f2-9df8-4324-b6e2-1580df5e7b68 · outbound

This paper cites Towards Quantum Federated Learning.

Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources Towards Quantum Federated Learning

Reference 3053

Resolution: unresolved; no resolver link, observed 2026-08-12T14:13:18.369147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 825e0515-f6d6-4306-95ab-f01fb3271643 · outbound

This paper cites MMoE: Enhancing Multimodal Models with Mixtures of Multimodal Interaction Experts.

Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources MMoE: Enhancing Multimodal Models with Mixtures of Multimodal Interaction Experts

Reference 4744

Resolution: unresolved; no resolver link, observed 2026-08-12T14:13:18.317567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 79a5db71-efa3-461b-840b-39719f78181a · inbound

Privacy-Preserving Federated Learning Framework for Distributed Chemical Process Optimization cites this paper.

Privacy-Preserving Federated Learning Framework for Distributed Chemical Process Optimization Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:46:43.406749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.